Overview

Dataset statistics

Number of variables28
Number of observations103205
Missing cells77913
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 MiB
Average record size in memory224.0 B

Variable types

Categorical3
Numeric24
DateTime1

Alerts

NO_MAX has constant value "0"Constant
NO_MIN has constant value "0"Constant
CO2_MAX is highly overall correlated with CO2_MIN and 1 other fieldsHigh correlation
CO2_MIN is highly overall correlated with CO2_MAX and 1 other fieldsHigh correlation
CO_MAX is highly overall correlated with CO2_MIN and 1 other fieldsHigh correlation
CO_MIN is highly overall correlated with CO_MAX and 5 other fieldsHigh correlation
HUMIDITY is highly overall correlated with CO_MIN and 6 other fieldsHigh correlation
Lattitude is highly overall correlated with CO2_MAX and 1 other fieldsHigh correlation
Longitude is highly overall correlated with NAMEHigh correlation
NAME is highly overall correlated with Lattitude and 1 other fieldsHigh correlation
NO2_MAX is highly overall correlated with NO2_MINHigh correlation
NO2_MIN is highly overall correlated with NO2_MAXHigh correlation
PM10_MAX is highly overall correlated with HUMIDITY and 4 other fieldsHigh correlation
PM10_MIN is highly overall correlated with HUMIDITY and 4 other fieldsHigh correlation
PM2_MAX is highly overall correlated with CO_MIN and 5 other fieldsHigh correlation
PM2_MIN is highly overall correlated with CO_MIN and 5 other fieldsHigh correlation
SO2_MAX is highly overall correlated with SO2_MINHigh correlation
SO2_MIN is highly overall correlated with SO2_MAXHigh correlation
TEMPRATURE_MAX is highly overall correlated with CO_MIN and 6 other fieldsHigh correlation
TEMPRATURE_MIN is highly overall correlated with CO_MIN and 2 other fieldsHigh correlation
UV_MAX is highly overall correlated with UV_MINHigh correlation
UV_MIN is highly overall correlated with UV_MAXHigh correlation
HUMIDITY has 5121 (5.0%) missing valuesMissing
LIGHT has 6072 (5.9%) missing valuesMissing
PM10_MAX has 3233 (3.1%) missing valuesMissing
PM10_MIN has 3233 (3.1%) missing valuesMissing
PM2_MAX has 3233 (3.1%) missing valuesMissing
PM2_MIN has 3233 (3.1%) missing valuesMissing
CO2_MAX has 1565 (1.5%) missing valuesMissing
CO2_MIN has 1565 (1.5%) missing valuesMissing
SOUND has 5120 (5.0%) missing valuesMissing
TEMPRATURE_MAX has 5061 (4.9%) missing valuesMissing
TEMPRATURE_MIN has 5061 (4.9%) missing valuesMissing
UV_MAX has 12518 (12.1%) missing valuesMissing
UV_MIN has 12518 (12.1%) missing valuesMissing
AIR_PRESSURE has 5120 (5.0%) missing valuesMissing
SOUND is highly skewed (γ1 = 156.585361)Skewed
NO2_MAX has 3717 (3.6%) zerosZeros
NO2_MIN has 4112 (4.0%) zerosZeros
OZONE_MAX has 28965 (28.1%) zerosZeros
OZONE_MIN has 87134 (84.4%) zerosZeros
PM10_MAX has 5853 (5.7%) zerosZeros
PM10_MIN has 9060 (8.8%) zerosZeros
PM2_MAX has 3842 (3.7%) zerosZeros
PM2_MIN has 7632 (7.4%) zerosZeros
SO2_MAX has 16770 (16.2%) zerosZeros
SO2_MIN has 27627 (26.8%) zerosZeros
CO2_MAX has 18785 (18.2%) zerosZeros
CO2_MIN has 36992 (35.8%) zerosZeros
UV_MAX has 36056 (34.9%) zerosZeros
UV_MIN has 36056 (34.9%) zerosZeros

Reproduction

Analysis started2026-01-21 09:50:52.931840
Analysis finished2026-01-21 09:51:35.927597
Duration43 seconds
Software versionydata-profiling vv4.18.1
Download configurationconfig.json

Variables

NAME
Categorical

High correlation 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size806.4 KiB
Goodluck Square_Cafe_23
12963 
Chitale Bandhu Corner_41
12872 
Rajashri_Shahu_Bus_stand_19
12461 
Hadapsar_Gadital_01
12434 
PMPML_Bus_Depot_Deccan_15
12210 
Other values (5)
40265 

Length

Max length40
Median length24
Mean length22.501856
Min length15

Characters and Unicode

Total characters2322304
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBopadiSquare_65
2nd rowKarve Statue Square_5
3rd rowLullanagar_Square_14
4th rowHadapsar_Gadital_01
5th rowPMPML_Bus_Depot_Deccan_15

Common Values

ValueCountFrequency (%)
Goodluck Square_Cafe_2312963
12.6%
Chitale Bandhu Corner_4112872
12.5%
Rajashri_Shahu_Bus_stand_1912461
12.1%
Hadapsar_Gadital_0112434
12.0%
PMPML_Bus_Depot_Deccan_1512210
11.8%
Lullanagar_Square_1412117
11.7%
Pune Railway Station_2811791
11.4%
Karve Statue Square_511766
11.4%
BopadiSquare_654279
 
4.1%
Dr Baba Saheb Ambedkar Sethu Junction_60312
 
0.3%

Length

2026-01-21T09:51:35.983741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-21T09:51:36.040504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
goodluck12963
 
6.8%
square_cafe_2312963
 
6.8%
chitale12872
 
6.8%
bandhu12872
 
6.8%
corner_4112872
 
6.8%
rajashri_shahu_bus_stand_1912461
 
6.5%
hadapsar_gadital_0112434
 
6.5%
pmpml_bus_depot_deccan_1512210
 
6.4%
lullanagar_square_1412117
 
6.4%
pune11791
 
6.2%
Other values (12)65031
34.1%

Most occurring characters

ValueCountFrequency (%)
a304839
 
13.1%
_214732
 
9.2%
e140511
 
6.1%
u140390
 
6.0%
r116271
 
5.0%
t97715
 
4.2%
87381
 
3.8%
n86738
 
3.7%
S77767
 
3.3%
l74294
 
3.2%
Other values (38)981666
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)2322304
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a304839
 
13.1%
_214732
 
9.2%
e140511
 
6.1%
u140390
 
6.0%
r116271
 
5.0%
t97715
 
4.2%
87381
 
3.8%
n86738
 
3.7%
S77767
 
3.3%
l74294
 
3.2%
Other values (38)981666
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)2322304
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a304839
 
13.1%
_214732
 
9.2%
e140511
 
6.1%
u140390
 
6.0%
r116271
 
5.0%
t97715
 
4.2%
87381
 
3.8%
n86738
 
3.7%
S77767
 
3.3%
l74294
 
3.2%
Other values (38)981666
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)2322304
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a304839
 
13.1%
_214732
 
9.2%
e140511
 
6.1%
u140390
 
6.0%
r116271
 
5.0%
t97715
 
4.2%
87381
 
3.8%
n86738
 
3.7%
S77767
 
3.3%
l74294
 
3.2%
Other values (38)981666
42.3%

HUMIDITY
Real number (ℝ)

High correlation  Missing 

Distinct25693
Distinct (%)26.2%
Missing5121
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean63.130559
Minimum10.166
Maximum97.359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:36.135005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10.166
5-th percentile20.8949
Q148.056
median68.196
Q381.09925
95-th percentile90.513
Maximum97.359
Range87.193
Interquartile range (IQR)33.04325

Descriptive statistics

Standard deviation21.787184
Coefficient of variation (CV)0.34511312
Kurtosis-0.71581886
Mean63.130559
Median Absolute Deviation (MAD)15.087
Skewness-0.61104181
Sum6192097.8
Variance474.68139
MonotonicityNot monotonic
2026-01-21T09:51:36.197317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.7923
 
< 0.1%
83.38322
 
< 0.1%
79.88720
 
< 0.1%
84.17120
 
< 0.1%
65.59219
 
< 0.1%
71.31819
 
< 0.1%
68.42718
 
< 0.1%
75.26317
 
< 0.1%
79.43517
 
< 0.1%
56.15716
 
< 0.1%
Other values (25683)97893
94.9%
(Missing)5121
 
5.0%
ValueCountFrequency (%)
10.1664
< 0.1%
10.8511
 
< 0.1%
10.8641
 
< 0.1%
10.8651
 
< 0.1%
10.8661
 
< 0.1%
10.91
 
< 0.1%
10.9091
 
< 0.1%
10.9231
 
< 0.1%
10.9481
 
< 0.1%
11.294
< 0.1%
ValueCountFrequency (%)
97.3594
< 0.1%
97.2794
< 0.1%
96.9674
< 0.1%
96.8083
< 0.1%
96.84
< 0.1%
96.664
< 0.1%
96.4834
< 0.1%
96.4684
< 0.1%
96.4594
< 0.1%
96.4264
< 0.1%

LIGHT
Real number (ℝ)

Missing 

Distinct66174
Distinct (%)68.1%
Missing6072
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean1894.5633
Minimum0.094
Maximum64811.321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:36.258496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.094
5-th percentile0.615
Q12.243
median123.227
Q31879.022
95-th percentile6853.4468
Maximum64811.321
Range64811.227
Interquartile range (IQR)1876.779

Descriptive statistics

Standard deviation5315.9032
Coefficient of variation (CV)2.8058726
Kurtosis42.789589
Mean1894.5633
Median Absolute Deviation (MAD)122.727
Skewness6.0511476
Sum1.8402461 × 108
Variance28258827
MonotonicityNot monotonic
2026-01-21T09:51:36.324773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34935
 
< 0.1%
0.95230
 
< 0.1%
1.48430
 
< 0.1%
1.50829
 
< 0.1%
1.50529
 
< 0.1%
1.43229
 
< 0.1%
0.93129
 
< 0.1%
1.40829
 
< 0.1%
1.5528
 
< 0.1%
0.72827
 
< 0.1%
Other values (66164)96838
93.8%
(Missing)6072
 
5.9%
ValueCountFrequency (%)
0.0942
< 0.1%
0.0951
 
< 0.1%
0.0981
 
< 0.1%
0.0991
 
< 0.1%
0.12
< 0.1%
0.1013
< 0.1%
0.1023
< 0.1%
0.1031
 
< 0.1%
0.1042
< 0.1%
0.1071
 
< 0.1%
ValueCountFrequency (%)
64811.3211
< 0.1%
63142.8051
< 0.1%
60508.0991
< 0.1%
60441.5591
< 0.1%
60022.7981
< 0.1%
59368.0651
< 0.1%
59155.3711
< 0.1%
59144.4691
< 0.1%
58545.7541
< 0.1%
58540.2191
< 0.1%

NO_MAX
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size806.4 KiB
0
103205 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters103205
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0103205
100.0%

Length

2026-01-21T09:51:36.391653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-21T09:51:36.423474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0103205
100.0%

Most occurring characters

ValueCountFrequency (%)
0103205
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)103205
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0103205
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)103205
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0103205
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)103205
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0103205
100.0%

NO_MIN
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size806.4 KiB
0
103205 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters103205
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0103205
100.0%

Length

2026-01-21T09:51:36.462633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-21T09:51:36.495902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0103205
100.0%

Most occurring characters

ValueCountFrequency (%)
0103205
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)103205
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0103205
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)103205
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0103205
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)103205
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0103205
100.0%

NO2_MAX
Real number (ℝ)

High correlation  Zeros 

Distinct208
Distinct (%)0.2%
Missing577
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean72.677184
Minimum0
Maximum316
Zeros3717
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:36.537915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q147
median77
Q396
95-th percentile122
Maximum316
Range316
Interquartile range (IQR)49

Descriptive statistics

Standard deviation37.689305
Coefficient of variation (CV)0.5185851
Kurtosis6.4903697
Mean72.677184
Median Absolute Deviation (MAD)24
Skewness0.97123684
Sum7458714
Variance1420.4837
MonotonicityNot monotonic
2026-01-21T09:51:36.602939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03717
 
3.6%
841755
 
1.7%
801709
 
1.7%
551566
 
1.5%
871557
 
1.5%
881539
 
1.5%
941538
 
1.5%
831482
 
1.4%
911456
 
1.4%
861432
 
1.4%
Other values (198)84877
82.2%
ValueCountFrequency (%)
03717
3.6%
18
 
< 0.1%
26
 
< 0.1%
36
 
< 0.1%
48
 
< 0.1%
522
 
< 0.1%
673
 
0.1%
7127
 
0.1%
8325
 
0.3%
91010
 
1.0%
ValueCountFrequency (%)
316408
0.4%
3153
 
< 0.1%
3134
 
< 0.1%
3084
 
< 0.1%
3052
 
< 0.1%
3034
 
< 0.1%
3024
 
< 0.1%
2962
 
< 0.1%
2944
 
< 0.1%
2914
 
< 0.1%

NO2_MIN
Real number (ℝ)

High correlation  Zeros 

Distinct201
Distinct (%)0.2%
Missing577
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean62.79983
Minimum0
Maximum315
Zeros4112
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:36.694585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q137
median64
Q387
95-th percentile114
Maximum315
Range315
Interquartile range (IQR)50

Descriptive statistics

Standard deviation33.607416
Coefficient of variation (CV)0.53515138
Kurtosis0.87423793
Mean62.79983
Median Absolute Deviation (MAD)25
Skewness0.12802675
Sum6445021
Variance1129.4584
MonotonicityNot monotonic
2026-01-21T09:51:36.772704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04112
 
4.0%
341784
 
1.7%
771775
 
1.7%
811760
 
1.7%
801530
 
1.5%
831529
 
1.5%
761507
 
1.5%
921487
 
1.4%
581460
 
1.4%
821450
 
1.4%
Other values (191)84234
81.6%
ValueCountFrequency (%)
04112
4.0%
185
 
0.1%
215
 
< 0.1%
3141
 
0.1%
4646
 
0.6%
5426
 
0.4%
61003
 
1.0%
7872
 
0.8%
8848
 
0.8%
91014
 
1.0%
ValueCountFrequency (%)
3154
< 0.1%
3134
< 0.1%
3084
< 0.1%
3053
< 0.1%
3034
< 0.1%
3024
< 0.1%
2963
< 0.1%
2943
< 0.1%
2914
< 0.1%
2874
< 0.1%

OZONE_MAX
Real number (ℝ)

Zeros 

Distinct112
Distinct (%)0.1%
Missing608
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean16.646715
Minimum0
Maximum335
Zeros28965
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:36.839908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q323
95-th percentile60
Maximum335
Range335
Interquartile range (IQR)23

Descriptive statistics

Standard deviation28.367278
Coefficient of variation (CV)1.7040767
Kurtosis48.600844
Mean16.646715
Median Absolute Deviation (MAD)6
Skewness5.3807578
Sum1707903
Variance804.70247
MonotonicityNot monotonic
2026-01-21T09:51:36.907878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028965
28.1%
15042
 
4.9%
33874
 
3.8%
43821
 
3.7%
53775
 
3.7%
23487
 
3.4%
72640
 
2.6%
82467
 
2.4%
62375
 
2.3%
102085
 
2.0%
Other values (102)44066
42.7%
ValueCountFrequency (%)
028965
28.1%
15042
 
4.9%
23487
 
3.4%
33874
 
3.8%
43821
 
3.7%
53775
 
3.7%
62375
 
2.3%
72640
 
2.6%
82467
 
2.4%
91844
 
1.8%
ValueCountFrequency (%)
335283
0.3%
3333
 
< 0.1%
3274
 
< 0.1%
3243
 
< 0.1%
3184
 
< 0.1%
3154
 
< 0.1%
3094
 
< 0.1%
3074
 
< 0.1%
3004
 
< 0.1%
2764
 
< 0.1%

OZONE_MIN
Real number (ℝ)

Zeros 

Distinct80
Distinct (%)0.1%
Missing608
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean4.9618995
Minimum0
Maximum335
Zeros87134
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:36.979765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32
Maximum335
Range335
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.427678
Coefficient of variation (CV)4.1169068
Kurtosis103.55314
Mean4.9618995
Median Absolute Deviation (MAD)0
Skewness8.4177676
Sum509076
Variance417.29001
MonotonicityNot monotonic
2026-01-21T09:51:37.198383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
087134
84.4%
12302
 
2.2%
3568
 
0.6%
2561
 
0.5%
27530
 
0.5%
126521
 
0.5%
26506
 
0.5%
32486
 
0.5%
31484
 
0.5%
38472
 
0.5%
Other values (70)9033
 
8.8%
(Missing)608
 
0.6%
ValueCountFrequency (%)
087134
84.4%
12302
 
2.2%
2561
 
0.5%
3568
 
0.6%
4292
 
0.3%
579
 
0.1%
6303
 
0.3%
7117
 
0.1%
8113
 
0.1%
9128
 
0.1%
ValueCountFrequency (%)
335117
0.1%
3334
 
< 0.1%
3274
 
< 0.1%
3242
 
< 0.1%
3184
 
< 0.1%
3151
 
< 0.1%
3093
 
< 0.1%
3073
 
< 0.1%
3004
 
< 0.1%
2764
 
< 0.1%

PM10_MAX
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct55
Distinct (%)0.1%
Missing3233
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean19.004841
Minimum0
Maximum54
Zeros5853
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:37.260901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median18
Q329
95-th percentile40
Maximum54
Range54
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.492682
Coefficient of variation (CV)0.65734211
Kurtosis-0.99048415
Mean19.004841
Median Absolute Deviation (MAD)10
Skewness0.23864521
Sum1899952
Variance156.06712
MonotonicityNot monotonic
2026-01-21T09:51:37.323154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05853
 
5.7%
73507
 
3.4%
123159
 
3.1%
93118
 
3.0%
303085
 
3.0%
143077
 
3.0%
52949
 
2.9%
132698
 
2.6%
102662
 
2.6%
112607
 
2.5%
Other values (45)67257
65.2%
(Missing)3233
 
3.1%
ValueCountFrequency (%)
05853
5.7%
12150
 
2.1%
21407
 
1.4%
32488
2.4%
42120
 
2.1%
52949
2.9%
62353
2.3%
73507
3.4%
82252
 
2.2%
93118
3.0%
ValueCountFrequency (%)
5490
 
0.1%
5394
 
0.1%
524
 
< 0.1%
5134
 
< 0.1%
5012
 
< 0.1%
4991
 
0.1%
4826
 
< 0.1%
47204
0.2%
46237
0.2%
45241
0.2%

PM10_MIN
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct49
Distinct (%)< 0.1%
Missing3233
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean14.559357
Minimum0
Maximum48
Zeros9060
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:37.392400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median13
Q323
95-th percentile34
Maximum48
Range48
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.961672
Coefficient of variation (CV)0.75289536
Kurtosis-0.87553134
Mean14.559357
Median Absolute Deviation (MAD)9
Skewness0.43699593
Sum1455528
Variance120.15825
MonotonicityNot monotonic
2026-01-21T09:51:37.475141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
09060
 
8.8%
44719
 
4.6%
33880
 
3.8%
23763
 
3.6%
93535
 
3.4%
83459
 
3.4%
53374
 
3.3%
113286
 
3.2%
63258
 
3.2%
183087
 
3.0%
Other values (39)58551
56.7%
(Missing)3233
 
3.1%
ValueCountFrequency (%)
09060
8.8%
12610
 
2.5%
23763
3.6%
33880
3.8%
44719
4.6%
53374
 
3.3%
63258
 
3.2%
72465
 
2.4%
83459
 
3.4%
93535
 
3.4%
ValueCountFrequency (%)
4830
 
< 0.1%
474
 
< 0.1%
463
 
< 0.1%
4542
 
< 0.1%
4442
 
< 0.1%
43102
 
0.1%
42135
 
0.1%
41142
 
0.1%
40279
0.3%
39629
0.6%

PM2_MAX
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct39
Distinct (%)< 0.1%
Missing3233
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean15.006542
Minimum0
Maximum38
Zeros3842
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:37.551233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median14
Q322
95-th percentile30
Maximum38
Range38
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.1716603
Coefficient of variation (CV)0.61117747
Kurtosis-0.93265433
Mean15.006542
Median Absolute Deviation (MAD)7
Skewness0.22268255
Sum1500234
Variance84.119352
MonotonicityNot monotonic
2026-01-21T09:51:37.615797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
84338
 
4.2%
114217
 
4.1%
104183
 
4.1%
94072
 
3.9%
73953
 
3.8%
03842
 
3.7%
123811
 
3.7%
203755
 
3.6%
213555
 
3.4%
193528
 
3.4%
Other values (29)60718
58.8%
ValueCountFrequency (%)
03842
3.7%
13039
2.9%
21745
1.7%
31895
1.8%
43332
3.2%
53475
3.4%
63381
3.3%
73953
3.8%
84338
4.2%
94072
3.9%
ValueCountFrequency (%)
38199
 
0.2%
3763
 
0.1%
36163
 
0.2%
35369
 
0.4%
34618
 
0.6%
33827
 
0.8%
321022
1.0%
311671
1.6%
301733
1.7%
292293
2.2%

PM2_MIN
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct38
Distinct (%)< 0.1%
Missing3233
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean11.692074
Minimum0
Maximum37
Zeros7632
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:37.680240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q318
95-th percentile26
Maximum37
Range37
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.2591483
Coefficient of variation (CV)0.70638865
Kurtosis-0.85294898
Mean11.692074
Median Absolute Deviation (MAD)6
Skewness0.40100928
Sum1168880
Variance68.21353
MonotonicityNot monotonic
2026-01-21T09:51:37.779687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
07632
 
7.4%
55579
 
5.4%
44875
 
4.7%
84759
 
4.6%
34624
 
4.5%
64605
 
4.5%
74352
 
4.2%
104280
 
4.1%
194182
 
4.1%
153740
 
3.6%
Other values (28)51344
49.7%
ValueCountFrequency (%)
07632
7.4%
13150
3.1%
23277
3.2%
34624
4.5%
44875
4.7%
55579
5.4%
64605
4.5%
74352
4.2%
84759
4.6%
93636
3.5%
ValueCountFrequency (%)
3734
 
< 0.1%
363
 
< 0.1%
354
 
< 0.1%
3458
 
0.1%
33104
 
0.1%
32198
 
0.2%
31178
 
0.2%
30747
0.7%
29763
0.7%
281227
1.2%

SO2_MAX
Real number (ℝ)

High correlation  Zeros 

Distinct126
Distinct (%)0.1%
Missing837
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean5.9075004
Minimum0
Maximum165
Zeros16770
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:37.888348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile11
Maximum165
Range165
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.915968
Coefficient of variation (CV)2.355644
Kurtosis78.489205
Mean5.9075004
Median Absolute Deviation (MAD)2
Skewness8.4130418
Sum604739
Variance193.65416
MonotonicityNot monotonic
2026-01-21T09:51:37.960824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016770
16.2%
313568
13.1%
411361
11.0%
29850
9.5%
58777
8.5%
68485
8.2%
18055
7.8%
76532
 
6.3%
85620
 
5.4%
94511
 
4.4%
Other values (116)8839
8.6%
ValueCountFrequency (%)
016770
16.2%
18055
7.8%
29850
9.5%
313568
13.1%
411361
11.0%
58777
8.5%
68485
8.2%
76532
 
6.3%
85620
 
5.4%
94511
 
4.4%
ValueCountFrequency (%)
16577
0.1%
162103
0.1%
16115
 
< 0.1%
1602
 
< 0.1%
1592
 
< 0.1%
1586
 
< 0.1%
1574
 
< 0.1%
1564
 
< 0.1%
15510
 
< 0.1%
15414
 
< 0.1%

SO2_MIN
Real number (ℝ)

High correlation  Zeros 

Distinct118
Distinct (%)0.1%
Missing837
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean3.8130568
Minimum0
Maximum165
Zeros27627
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.041931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile8
Maximum165
Range165
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.8122187
Coefficient of variation (CV)2.5733209
Kurtosis118.02913
Mean3.8130568
Median Absolute Deviation (MAD)2
Skewness10.001469
Sum390335
Variance96.279636
MonotonicityNot monotonic
2026-01-21T09:51:38.121077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027627
26.8%
214791
14.3%
314414
14.0%
111635
11.3%
48898
 
8.6%
56394
 
6.2%
66112
 
5.9%
74157
 
4.0%
83411
 
3.3%
91405
 
1.4%
Other values (108)3524
 
3.4%
ValueCountFrequency (%)
027627
26.8%
111635
11.3%
214791
14.3%
314414
14.0%
48898
 
8.6%
56394
 
6.2%
66112
 
5.9%
74157
 
4.0%
83411
 
3.3%
91405
 
1.4%
ValueCountFrequency (%)
1654
 
< 0.1%
15311
< 0.1%
15211
< 0.1%
15110
< 0.1%
15012
< 0.1%
1493
 
< 0.1%
1487
< 0.1%
1462
 
< 0.1%
1447
< 0.1%
1434
 
< 0.1%

CO_MAX
Real number (ℝ)

High correlation 

Distinct146
Distinct (%)0.1%
Missing608
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean96.025176
Minimum17
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.191488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q175
median106
Q3120
95-th percentile137
Maximum163
Range146
Interquartile range (IQR)45

Descriptive statistics

Standard deviation32.72614
Coefficient of variation (CV)0.34080792
Kurtosis-0.4091071
Mean96.025176
Median Absolute Deviation (MAD)19
Skewness-0.69066268
Sum9851895
Variance1071.0003
MonotonicityNot monotonic
2026-01-21T09:51:38.261877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1092679
 
2.6%
1102665
 
2.6%
1052445
 
2.4%
1082408
 
2.3%
1122235
 
2.2%
1112210
 
2.1%
1072196
 
2.1%
1002025
 
2.0%
1261988
 
1.9%
1131865
 
1.8%
Other values (136)79881
77.4%
ValueCountFrequency (%)
1737
 
< 0.1%
18199
 
0.2%
19122
 
0.1%
20289
 
0.3%
21707
0.7%
22300
 
0.3%
23619
0.6%
24487
0.5%
25568
0.6%
26828
0.8%
ValueCountFrequency (%)
16378
0.1%
161177
0.2%
16096
0.1%
15948
 
< 0.1%
158194
0.2%
15799
0.1%
15687
0.1%
155187
0.2%
154185
0.2%
15311
 
< 0.1%

CO_MIN
Real number (ℝ)

High correlation 

Distinct125
Distinct (%)0.1%
Missing608
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean46.403053
Minimum8
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.331775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q121
median44
Q365
95-th percentile100
Maximum136
Range128
Interquartile range (IQR)44

Descriptive statistics

Standard deviation27.441851
Coefficient of variation (CV)0.5913803
Kurtosis-0.5342038
Mean46.403053
Median Absolute Deviation (MAD)22
Skewness0.57049947
Sum4760814
Variance753.0552
MonotonicityNot monotonic
2026-01-21T09:51:38.405427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143544
 
3.4%
152996
 
2.9%
132778
 
2.7%
122738
 
2.7%
112201
 
2.1%
462095
 
2.0%
452025
 
2.0%
442022
 
2.0%
481990
 
1.9%
161914
 
1.9%
Other values (115)78294
75.9%
ValueCountFrequency (%)
896
 
0.1%
9753
 
0.7%
101595
1.5%
112201
2.1%
122738
2.7%
132778
2.7%
143544
3.4%
152996
2.9%
161914
1.9%
171829
1.8%
ValueCountFrequency (%)
1364
 
< 0.1%
1333
 
< 0.1%
1304
 
< 0.1%
1294
 
< 0.1%
12853
0.1%
12712
 
< 0.1%
1263
 
< 0.1%
12578
0.1%
12457
0.1%
12319
 
< 0.1%

CO2_MAX
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct767
Distinct (%)0.8%
Missing1565
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean217.62152
Minimum0
Maximum1338
Zeros18785
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.468220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median127
Q3418
95-th percentile638
Maximum1338
Range1338
Interquartile range (IQR)389

Descriptive statistics

Standard deviation238.83386
Coefficient of variation (CV)1.0974736
Kurtosis1.6055829
Mean217.62152
Median Absolute Deviation (MAD)127
Skewness1.2272961
Sum22119051
Variance57041.612
MonotonicityNot monotonic
2026-01-21T09:51:38.534380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018785
 
18.2%
2915015
 
14.5%
28693
 
0.7%
1616
 
0.6%
447498
 
0.5%
439489
 
0.5%
450457
 
0.4%
56450
 
0.4%
258447
 
0.4%
45434
 
0.4%
Other values (757)63756
61.8%
(Missing)1565
 
1.5%
ValueCountFrequency (%)
018785
18.2%
1616
 
0.6%
2414
 
0.4%
3346
 
0.3%
485
 
0.1%
5137
 
0.1%
6163
 
0.2%
777
 
0.1%
8119
 
0.1%
9182
 
0.2%
ValueCountFrequency (%)
133878
0.1%
13313
 
< 0.1%
13136
 
< 0.1%
131293
0.1%
130986
0.1%
12982
 
< 0.1%
12964
 
< 0.1%
12804
 
< 0.1%
12727
 
< 0.1%
12603
 
< 0.1%

CO2_MIN
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct556
Distinct (%)0.5%
Missing1565
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean137.31701
Minimum0
Maximum919
Zeros36992
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.595243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median29
Q3296
95-th percentile472
Maximum919
Range919
Interquartile range (IQR)296

Descriptive statistics

Standard deviation176.90879
Coefficient of variation (CV)1.2883239
Kurtosis-0.40131614
Mean137.31701
Median Absolute Deviation (MAD)29
Skewness0.98307021
Sum13956901
Variance31296.719
MonotonicityNot monotonic
2026-01-21T09:51:38.655027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036992
35.8%
2913599
 
13.2%
1762
 
0.7%
3537
 
0.5%
2468
 
0.5%
26408
 
0.4%
375407
 
0.4%
366393
 
0.4%
7380
 
0.4%
18367
 
0.4%
Other values (546)47327
45.9%
(Missing)1565
 
1.5%
ValueCountFrequency (%)
036992
35.8%
1762
 
0.7%
2468
 
0.5%
3537
 
0.5%
4358
 
0.3%
5233
 
0.2%
6318
 
0.3%
7380
 
0.4%
8281
 
0.3%
9148
 
0.1%
ValueCountFrequency (%)
91932
< 0.1%
9094
 
< 0.1%
8603
 
< 0.1%
8244
 
< 0.1%
8234
 
< 0.1%
8111
 
< 0.1%
79261
0.1%
7835
 
< 0.1%
75835
< 0.1%
7571
 
< 0.1%

SOUND
Real number (ℝ)

Missing  Skewed 

Distinct18519
Distinct (%)18.9%
Missing5120
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean153.51176
Minimum56.209
Maximum2027663.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.724932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum56.209
5-th percentile58.6804
Q164.824
median70.894
Q376.108
95-th percentile82.9088
Maximum2027663.1
Range2027606.9
Interquartile range (IQR)11.284

Descriptive statistics

Standard deviation12948.002
Coefficient of variation (CV)84.345342
Kurtosis24517.483
Mean153.51176
Median Absolute Deviation (MAD)5.758
Skewness156.58536
Sum15057201
Variance1.6765075 × 108
MonotonicityNot monotonic
2026-01-21T09:51:38.791882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.47529
 
< 0.1%
65.0826
 
< 0.1%
64.69226
 
< 0.1%
64.93925
 
< 0.1%
74.71325
 
< 0.1%
75.19424
 
< 0.1%
65.97624
 
< 0.1%
76.18924
 
< 0.1%
64.38724
 
< 0.1%
63.76623
 
< 0.1%
Other values (18509)97835
94.8%
(Missing)5120
 
5.0%
ValueCountFrequency (%)
56.2093
 
< 0.1%
56.2223
 
< 0.1%
56.2233
 
< 0.1%
56.233
 
< 0.1%
56.254
< 0.1%
56.2563
 
< 0.1%
56.2633
 
< 0.1%
56.2678
< 0.1%
56.2693
 
< 0.1%
56.284
< 0.1%
ValueCountFrequency (%)
2027663.0894
< 0.1%
96.9594
< 0.1%
96.2823
< 0.1%
96.1173
< 0.1%
95.3424
< 0.1%
94.7461
 
< 0.1%
94.4512
< 0.1%
93.7341
 
< 0.1%
93.6551
 
< 0.1%
93.6323
< 0.1%

TEMPRATURE_MAX
Real number (ℝ)

High correlation  Missing 

Distinct24
Distinct (%)< 0.1%
Missing5061
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean33.920219
Minimum23
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.847269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile26
Q129
median34
Q339
95-th percentile42
Maximum46
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.2649974
Coefficient of variation (CV)0.15521708
Kurtosis-1.3103309
Mean33.920219
Median Absolute Deviation (MAD)5
Skewness-0.006160381
Sum3329066
Variance27.720197
MonotonicityNot monotonic
2026-01-21T09:51:38.896154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
408769
 
8.5%
297208
 
7.0%
397205
 
7.0%
286891
 
6.7%
276155
 
6.0%
306071
 
5.9%
415884
 
5.7%
385778
 
5.6%
375407
 
5.2%
325058
 
4.9%
Other values (14)33718
32.7%
(Missing)5061
 
4.9%
ValueCountFrequency (%)
2354
 
0.1%
24419
 
0.4%
252130
 
2.1%
264393
4.3%
276155
6.0%
286891
6.7%
297208
7.0%
306071
5.9%
314930
4.8%
325058
4.9%
ValueCountFrequency (%)
4642
 
< 0.1%
4568
 
0.1%
44590
 
0.6%
43789
 
0.8%
423768
3.7%
415884
5.7%
408769
8.5%
397205
7.0%
385778
5.6%
375407
5.2%

TEMPRATURE_MIN
Real number (ℝ)

High correlation  Missing 

Distinct25
Distinct (%)< 0.1%
Missing5061
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean24.91056
Minimum20
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:38.947159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23
Q124
median25
Q326
95-th percentile28
Maximum44
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0467292
Coefficient of variation (CV)0.082163116
Kurtosis11.982049
Mean24.91056
Median Absolute Deviation (MAD)1
Skewness2.2574464
Sum2444822
Variance4.1891006
MonotonicityNot monotonic
2026-01-21T09:51:39.002187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2425226
24.4%
2319271
18.7%
2517957
17.4%
2615430
15.0%
278245
 
8.0%
283929
 
3.8%
223669
 
3.6%
291846
 
1.8%
30843
 
0.8%
31499
 
0.5%
Other values (15)1229
 
1.2%
(Missing)5061
 
4.9%
ValueCountFrequency (%)
2015
 
< 0.1%
21400
 
0.4%
223669
 
3.6%
2319271
18.7%
2425226
24.4%
2517957
17.4%
2615430
15.0%
278245
 
8.0%
283929
 
3.8%
291846
 
1.8%
ValueCountFrequency (%)
4412
 
< 0.1%
436
 
< 0.1%
4245
< 0.1%
4152
0.1%
4067
0.1%
3986
0.1%
3875
0.1%
3795
0.1%
3646
< 0.1%
3535
 
< 0.1%

UV_MAX
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct65
Distinct (%)0.1%
Missing12518
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean1.0933221
Minimum0
Maximum6.6
Zeros36056
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:39.060102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.4
Q31.7
95-th percentile4.5
Maximum6.6
Range6.6
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.4872195
Coefficient of variation (CV)1.3602757
Kurtosis1.0677242
Mean1.0933221
Median Absolute Deviation (MAD)0.4
Skewness1.4340936
Sum99150.1
Variance2.2118218
MonotonicityNot monotonic
2026-01-21T09:51:39.121681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
036056
34.9%
0.13294
 
3.2%
0.73010
 
2.9%
0.52874
 
2.8%
0.22645
 
2.6%
0.62578
 
2.5%
0.42405
 
2.3%
0.82358
 
2.3%
0.32051
 
2.0%
0.91491
 
1.4%
Other values (55)31925
30.9%
(Missing)12518
 
12.1%
ValueCountFrequency (%)
036056
34.9%
0.13294
 
3.2%
0.22645
 
2.6%
0.32051
 
2.0%
0.42405
 
2.3%
0.52874
 
2.8%
0.62578
 
2.5%
0.73010
 
2.9%
0.82358
 
2.3%
0.91491
 
1.4%
ValueCountFrequency (%)
6.645
 
< 0.1%
6.336
 
< 0.1%
6.240
 
< 0.1%
6.143
 
< 0.1%
635
 
< 0.1%
5.9282
0.3%
5.819
 
< 0.1%
5.7247
0.2%
5.691
 
0.1%
5.5116
0.1%

UV_MIN
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct13
Distinct (%)< 0.1%
Missing12518
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean0.086700409
Minimum0
Maximum1.3
Zeros36056
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:39.171263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.1
95-th percentile0.3
Maximum1.3
Range1.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.098301151
Coefficient of variation (CV)1.1338026
Kurtosis10.174075
Mean0.086700409
Median Absolute Deviation (MAD)0.1
Skewness2.1515825
Sum7862.6
Variance0.0096631163
MonotonicityNot monotonic
2026-01-21T09:51:39.215182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.138906
37.7%
036056
34.9%
0.210948
 
10.6%
0.32627
 
2.5%
0.41461
 
1.4%
0.5399
 
0.4%
0.6130
 
0.1%
0.774
 
0.1%
0.842
 
< 0.1%
1.222
 
< 0.1%
Other values (3)22
 
< 0.1%
(Missing)12518
 
12.1%
ValueCountFrequency (%)
036056
34.9%
0.138906
37.7%
0.210948
 
10.6%
0.32627
 
2.5%
0.41461
 
1.4%
0.5399
 
0.4%
0.6130
 
0.1%
0.774
 
0.1%
0.842
 
< 0.1%
0.917
 
< 0.1%
ValueCountFrequency (%)
1.31
 
< 0.1%
1.222
 
< 0.1%
14
 
< 0.1%
0.917
 
< 0.1%
0.842
 
< 0.1%
0.774
 
0.1%
0.6130
 
0.1%
0.5399
 
0.4%
0.41461
1.4%
0.32627
2.5%

AIR_PRESSURE
Real number (ℝ)

Missing 

Distinct135
Distinct (%)0.1%
Missing5120
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean0.93073522
Minimum0.763
Maximum1.349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:39.276071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.763
5-th percentile0.924
Q10.928
median0.931
Q30.933
95-th percentile0.936
Maximum1.349
Range0.586
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.021908303
Coefficient of variation (CV)0.023538707
Kurtosis263.18367
Mean0.93073522
Median Absolute Deviation (MAD)0.002
Skewness13.950293
Sum91291.164
Variance0.00047997376
MonotonicityNot monotonic
2026-01-21T09:51:39.337460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.93111516
11.2%
0.9310639
10.3%
0.9329911
9.6%
0.9299861
9.6%
0.9339425
9.1%
0.9287730
7.5%
0.9347019
6.8%
0.9275887
 
5.7%
0.9355345
 
5.2%
0.9264012
 
3.9%
Other values (125)16740
16.2%
(Missing)5120
 
5.0%
ValueCountFrequency (%)
0.76313
 
< 0.1%
0.76425
 
< 0.1%
0.76518
 
< 0.1%
0.76617
 
< 0.1%
0.7678
 
< 0.1%
0.7687
 
< 0.1%
0.7693
 
< 0.1%
0.773
 
< 0.1%
0.83595
0.1%
0.83646
< 0.1%
ValueCountFrequency (%)
1.3494
 
< 0.1%
1.3473
 
< 0.1%
1.34610
< 0.1%
1.34515
< 0.1%
1.3448
< 0.1%
1.34111
< 0.1%
1.347
< 0.1%
1.3394
 
< 0.1%
1.3383
 
< 0.1%
1.33615
< 0.1%
Distinct16284
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size806.4 KiB
Minimum2019-01-05 00:01:00
Maximum2019-12-08 23:49:00
Invalid dates0
Invalid dates (%)0.0%
2026-01-21T09:51:39.398848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:39.466104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Lattitude
Real number (ℝ)

High correlation 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.502812
Minimum18.451716
Maximum18.559427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:39.522332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18.451716
5-th percentile18.451716
Q118.487306
median18.501834
Q318.525066
95-th percentile18.534357
Maximum18.559427
Range0.1077111
Interquartile range (IQR)0.0377596

Descriptive statistics

Standard deviation0.027027296
Coefficient of variation (CV)0.0014607129
Kurtosis-0.31271973
Mean18.502812
Median Absolute Deviation (MAD)0.019595
Skewness-0.19922428
Sum1909582.7
Variance0.00073047475
MonotonicityNot monotonic
2026-01-21T09:51:39.570349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
18.534356512963
12.6%
18.5155712872
12.5%
18.482238512461
12.1%
18.501833512434
12.0%
18.451715612210
11.8%
18.487306512117
11.7%
18.525066111791
11.4%
18.501727211766
11.4%
18.55942674279
 
4.1%
18.5517635312
 
0.3%
ValueCountFrequency (%)
18.451715612210
11.8%
18.482238512461
12.1%
18.487306512117
11.7%
18.501727211766
11.4%
18.501833512434
12.0%
18.5155712872
12.5%
18.525066111791
11.4%
18.534356512963
12.6%
18.5517635312
 
0.3%
18.55942674279
 
4.1%
ValueCountFrequency (%)
18.55942674279
 
4.1%
18.5517635312
 
0.3%
18.534356512963
12.6%
18.525066111791
11.4%
18.5155712872
12.5%
18.501833512434
12.0%
18.501727211766
11.4%
18.487306512117
11.7%
18.482238512461
12.1%
18.451715612210
11.8%

Longitude
Real number (ℝ)

High correlation 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.849098
Minimum73.792927
Maximum73.941478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size806.4 KiB
2026-01-21T09:51:39.613310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum73.792927
5-th percentile73.792927
Q173.824393
median73.828656
Q373.858092
95-th percentile73.941478
Maximum73.941478
Range0.1485502
Interquartile range (IQR)0.0336985

Descriptive statistics

Standard deviation0.043197742
Coefficient of variation (CV)0.0005849461
Kurtosis-0.015272463
Mean73.849098
Median Absolute Deviation (MAD)0.0275147
Skewness0.88954459
Sum7621596.2
Variance0.0018660449
MonotonicityNot monotonic
2026-01-21T09:51:39.658196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
73.826057912963
12.6%
73.824393112872
12.5%
73.858091612461
12.1%
73.941477612434
12.0%
73.856170312210
11.8%
73.885649712117
11.7%
73.792927411791
11.4%
73.813595411766
11.4%
73.82865564279
 
4.1%
73.8306479312
 
0.3%
ValueCountFrequency (%)
73.792927411791
11.4%
73.813595411766
11.4%
73.824393112872
12.5%
73.826057912963
12.6%
73.82865564279
 
4.1%
73.8306479312
 
0.3%
73.856170312210
11.8%
73.858091612461
12.1%
73.885649712117
11.7%
73.941477612434
12.0%
ValueCountFrequency (%)
73.941477612434
12.0%
73.885649712117
11.7%
73.858091612461
12.1%
73.856170312210
11.8%
73.8306479312
 
0.3%
73.82865564279
 
4.1%
73.826057912963
12.6%
73.824393112872
12.5%
73.813595411766
11.4%
73.792927411791
11.4%

Interactions

2026-01-21T09:51:33.498741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:50:58.747779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.388955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:01.999050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.612538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:05.035398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.490871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:08.154374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.666528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:11.183408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.629101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:14.076905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.446544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.925268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.512098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:20.127265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.918275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.328642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.856864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.406919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.822124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:29.206695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.617157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:31.992177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.554379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:50:58.803540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.451701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:02.052614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.670677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:05.087420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.546672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:08.220616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.718672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:11.245347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.682651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:14.129632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.513162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.979343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.581291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:20.184754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.981005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.388534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.911866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.461452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.875727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:29.261904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.673678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:32.054016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.618221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:50:58.872333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.522257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:02.111011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.729776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:05.142653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.609608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:08.280444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.773494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:11.303622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-21T09:51:01.676702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.302328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:04.744854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.202758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:07.819743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.352163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:10.901508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.341269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:13.787633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.156849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.602654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.217358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:19.760168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.529114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.043651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.530120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.115169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.528781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:28.915663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.325078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:31.719096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.212257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:34.704048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.027789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:01.746554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.355174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:04.802367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.257484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:07.883534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.423048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:10.957890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.395475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:13.841920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.212273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.663112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.276367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:19.841974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.604204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.103411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.596945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.175885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.581687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:28.971136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.382672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:31.772115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.274853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:34.761884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.104900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:01.814300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.410511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:04.859973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.312965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:07.952777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.481341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:11.014874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.450308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:13.902764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.267105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.724085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.333524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:19.932699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.669964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.159259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.658631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.234387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.638686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:29.027617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.437617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:31.826729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.331513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:34.820801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.198285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:01.873035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.472820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:04.914728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.370900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:08.025752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.543828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:11.067825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.507814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:13.959630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.322306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.784024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.390224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:19.993920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.744547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.214242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.719153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.290837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.707932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:29.084773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.492478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:31.878360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.387390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:34.877638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:00.284617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:01.931709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:03.542068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:04.975709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:06.425365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:08.090202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:09.609872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:11.121937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:12.565959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:14.015472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:15.378669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:16.858520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:18.448021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:20.056096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:21.821965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:23.271246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:24.788268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:26.348280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:27.764544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:29.144939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:30.551884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:31.934273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-21T09:51:33.440005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-01-21T09:51:39.719079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AIR_PRESSURECO2_MAXCO2_MINCO_MAXCO_MINHUMIDITYLIGHTLattitudeLongitudeNAMENO2_MAXNO2_MINOZONE_MAXOZONE_MINPM10_MAXPM10_MINPM2_MAXPM2_MINSO2_MAXSO2_MINSOUNDTEMPRATURE_MAXTEMPRATURE_MINUV_MAXUV_MIN
AIR_PRESSURE1.0000.0690.1490.3090.454-0.4430.1230.275-0.2560.1050.3260.3260.019-0.3450.4830.4980.4600.4830.2730.2740.1660.4950.2340.1780.084
CO2_MAX0.0691.0000.8210.3940.1580.0060.0250.523-0.3920.395-0.175-0.184-0.156-0.1180.1680.1250.1380.0930.0580.049-0.0460.0070.088-0.056-0.092
CO2_MIN0.1490.8211.0000.5520.313-0.1930.0530.383-0.2100.412-0.160-0.1920.027-0.0670.3560.3130.3530.3070.1240.094-0.0860.1860.200-0.032-0.097
CO_MAX0.3090.3940.5521.0000.757-0.330-0.0250.1000.0980.4040.2760.221-0.020-0.2470.2680.2380.3180.2840.4600.407-0.0170.3640.364-0.083-0.067
CO_MIN0.4540.1580.3130.7571.000-0.6260.0200.1070.0590.3340.3570.2940.115-0.3600.4920.4690.5640.5360.4180.3490.0360.6990.5530.0480.033
HUMIDITY-0.4430.006-0.193-0.330-0.6261.000-0.342-0.0910.0030.072-0.233-0.190-0.2510.311-0.695-0.694-0.732-0.730-0.128-0.078-0.006-0.798-0.539-0.465-0.373
LIGHT0.1230.0250.053-0.0250.020-0.3421.0000.037-0.0810.140-0.044-0.0480.009-0.0770.0950.0930.0880.087-0.025-0.0410.2290.0910.0050.3950.464
Lattitude0.2750.5230.3830.1000.107-0.0910.0371.000-0.4481.000-0.012-0.013-0.123-0.1430.2050.1950.1800.168-0.176-0.189-0.1020.1500.1040.0950.047
Longitude-0.256-0.392-0.2100.0980.0590.003-0.081-0.4481.0001.0000.1040.0960.1760.178-0.194-0.140-0.150-0.0960.0400.038-0.047-0.067-0.022-0.0530.084
NAME0.1050.3950.4120.4040.3340.0720.1401.0001.0001.0000.3130.3060.2540.1630.1760.1540.1800.1530.1110.1060.0140.1560.0850.2190.115
NO2_MAX0.326-0.175-0.1600.2760.357-0.233-0.044-0.0120.1040.3131.0000.942-0.252-0.3820.2050.2070.2060.2100.3100.2660.1810.2330.168-0.0130.023
NO2_MIN0.326-0.184-0.1920.2210.294-0.190-0.048-0.0130.0960.3060.9421.000-0.314-0.3840.1520.1960.1380.1880.2390.2820.1920.1830.157-0.0010.035
OZONE_MAX0.019-0.1560.027-0.0200.115-0.2510.009-0.1230.1760.254-0.252-0.3141.0000.4790.2660.2290.2810.2380.1780.110-0.1780.213-0.1380.016-0.002
OZONE_MIN-0.345-0.118-0.067-0.247-0.3600.311-0.077-0.1430.1780.163-0.382-0.3840.4791.000-0.158-0.156-0.215-0.209-0.069-0.046-0.111-0.386-0.290-0.132-0.071
PM10_MAX0.4830.1680.3560.2680.492-0.6950.0950.205-0.1940.1760.2050.1520.266-0.1581.0000.9460.9620.9200.1220.060-0.0860.7220.4040.1420.043
PM10_MIN0.4980.1250.3130.2380.469-0.6940.0930.195-0.1400.1540.2070.1960.229-0.1560.9461.0000.9110.9690.0630.063-0.0730.7250.4190.1590.072
PM2_MAX0.4600.1380.3530.3180.564-0.7320.0880.180-0.1500.1800.2060.1380.281-0.2150.9620.9111.0000.9440.1160.041-0.1230.7820.4710.1490.046
PM2_MIN0.4830.0930.3070.2840.536-0.7300.0870.168-0.0960.1530.2100.1880.238-0.2090.9200.9690.9441.0000.0600.052-0.1010.7780.4780.1650.074
SO2_MAX0.2730.0580.1240.4600.418-0.128-0.025-0.1760.0400.1110.3100.2390.178-0.0690.1220.0630.1160.0601.0000.8600.1350.067-0.055-0.041-0.078
SO2_MIN0.2740.0490.0940.4070.349-0.078-0.041-0.1890.0380.1060.2660.2820.110-0.0460.0600.0630.0410.0520.8601.0000.1510.015-0.055-0.051-0.076
SOUND0.166-0.046-0.086-0.0170.036-0.0060.229-0.102-0.0470.0140.1810.192-0.178-0.111-0.086-0.073-0.123-0.1010.1350.1511.000-0.063-0.0850.2600.175
TEMPRATURE_MAX0.4950.0070.1860.3640.699-0.7980.0910.150-0.0670.1560.2330.1830.213-0.3860.7220.7250.7820.7780.0670.015-0.0631.0000.6550.2150.102
TEMPRATURE_MIN0.2340.0880.2000.3640.553-0.5390.0050.104-0.0220.0850.1680.157-0.138-0.2900.4040.4190.4710.478-0.055-0.055-0.0850.6551.0000.023-0.007
UV_MAX0.178-0.056-0.032-0.0830.048-0.4650.3950.095-0.0530.219-0.013-0.0010.016-0.1320.1420.1590.1490.165-0.041-0.0510.2600.2150.0231.0000.814
UV_MIN0.084-0.092-0.097-0.0670.033-0.3730.4640.0470.0840.1150.0230.035-0.002-0.0710.0430.0720.0460.074-0.078-0.0760.1750.102-0.0070.8141.000

Missing values

2026-01-21T09:51:34.991072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-21T09:51:35.204240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2026-01-21T09:51:35.666653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

NAMEHUMIDITYLIGHTNO_MAXNO_MINNO2_MAXNO2_MINOZONE_MAXOZONE_MINPM10_MAXPM10_MINPM2_MAXPM2_MINSO2_MAXSO2_MINCO_MAXCO_MINCO2_MAXCO2_MINSOUNDTEMPRATURE_MAXTEMPRATURE_MINUV_MAXUV_MINAIR_PRESSURELASTUPDATEDATETIMELattitudeLongitude
0BopadiSquare_6519.9953762.9140059.054.015.00.022.019.018.016.05.04.0154.0115.0448.0401.066.13341.024.05.30.20.93313/05/19 12:1618.55942773.828656
1Karve Statue Square_520.730529.2450082.077.018.00.023.019.019.016.04.03.0124.069.0441.0374.063.56839.025.00.80.10.93013/05/19 12:1618.50172773.813595
2Lullanagar_Square_1417.387693.3750074.063.025.00.025.021.020.018.03.03.0103.055.033.00.059.36240.024.00.50.20.92613/05/19 12:1618.48730673.885650
3Hadapsar_Gadital_0118.725723.63100110.0105.05.00.026.021.021.018.06.05.0128.095.0482.0427.072.17838.026.01.30.10.93013/05/19 12:1618.50183473.941478
4PMPML_Bus_Depot_Deccan_1520.622816.4760093.085.09.00.020.015.017.013.05.04.0112.052.077.026.074.75640.025.0NaNNaN0.93213/05/19 12:1618.45171673.856170
5Goodluck Square_Cafe_2319.896253.4630082.078.06.00.026.023.021.019.04.03.0111.047.0307.0291.058.58240.026.02.60.10.93213/05/19 12:1618.53435773.826058
6Karve Statue Square_525.154377.2070082.077.018.00.023.019.019.016.04.03.0124.069.0445.0374.065.50139.025.00.80.10.93013/05/19 12:3118.50172773.813595
7Goodluck Square_Cafe_2325.047203.8060082.077.06.00.026.023.021.019.04.03.0111.047.0303.0291.060.60740.026.02.60.10.93213/05/19 12:3118.53435773.826058
8BopadiSquare_6523.4872901.5350059.054.015.00.021.019.018.016.05.04.0154.0115.0448.0401.067.14941.024.05.30.20.93313/05/19 12:3118.55942773.828656
9Lullanagar_Square_1421.912525.0030073.063.025.00.025.021.020.018.03.03.0103.055.033.00.062.24140.024.00.50.20.92613/05/19 12:3118.48730673.885650
NAMEHUMIDITYLIGHTNO_MAXNO_MINNO2_MAXNO2_MINOZONE_MAXOZONE_MINPM10_MAXPM10_MINPM2_MAXPM2_MINSO2_MAXSO2_MINCO_MAXCO_MINCO2_MAXCO2_MINSOUNDTEMPRATURE_MAXTEMPRATURE_MINUV_MAXUV_MINAIR_PRESSURELASTUPDATEDATETIMELattitudeLongitude
103195Lullanagar_Square_1474.4712511.9500040.036.050.027.04.03.03.02.00.00.043.08.00.00.067.90227.023.00.60.10.92406/09/19 7:4518.48730673.885650
103196PMPML_Bus_Depot_Deccan_1571.8063167.8540098.096.00.00.08.07.05.04.08.08.0103.030.00.00.085.43128.024.01.40.40.93006/09/19 8:0118.45171673.856170
103197Chitale Bandhu Corner_4170.2435048.751008.06.07.04.012.010.07.05.00.00.070.019.0554.0482.074.78229.025.01.20.20.92806/09/19 8:0018.51557073.824393
103198Goodluck Square_Cafe_2369.759828.1430080.078.02.01.013.09.06.04.01.00.076.027.0199.00.064.14930.023.00.00.00.92906/09/19 8:0018.53435773.826058
103199Rajashri_Shahu_Bus_stand_1976.8091536.0790054.052.07.03.01.01.01.00.00.00.020.011.00.00.081.19028.023.01.40.40.92506/09/19 8:0118.48223973.858092
103200Hadapsar_Gadital_0173.9033388.676000.00.071.059.05.04.03.03.04.02.0119.036.0204.0142.080.86427.024.00.10.10.92806/09/19 8:0118.50183473.941478
103201Dr Baba Saheb Ambedkar Sethu Junction_6083.9842530.4190037.034.017.010.020.015.08.07.06.06.078.015.0372.0334.083.84128.024.00.10.10.93006/09/19 8:0118.55176373.830648
103202Lullanagar_Square_1474.4121831.4340040.036.050.027.04.03.03.02.00.00.043.08.00.00.067.68127.023.00.60.10.92406/09/19 8:0118.48730673.885650
103203Karve Statue Square_575.912291.3910066.065.018.015.011.09.05.04.09.09.0112.033.0442.0335.065.89427.024.00.00.00.92806/09/19 8:0118.50172773.813595
103204Pune Railway Station_2872.6483664.17700162.0154.00.00.07.06.03.02.03.03.046.017.026.00.081.26628.024.00.90.20.93006/09/19 8:0118.52506673.792927